Impact of Normal Weight Central Obesity on Clinical Outcomes in Male Patients With Premature Acute Coronary Syndrome

Angiology. 2019 Nov;70(10):960-968. doi: 10.1177/0003319719835637. Epub 2019 Mar 14.

Abstract

There is a lack of studies that evaluate the association between normal weight central obesity and subsequent outcomes in patients with premature acute coronary syndrome (ACS). We evaluated 338 consecutive male patients (aged ≤ 55 years) with premature ACS. The primary outcomes were all-cause mortality and major adverse cardiac and cerebrovascular events (MACCE). We compared the hazard ratios (HRs) in patients with and without normal weight central obesity using multivariable Cox proportional hazard models. All-cause mortality (16.8%) of patients with normal weight central obesity was much higher than those (7.1%) without normal weight central obesity (P = .008). The incidence of MACCE in patients with and without normal weight central obesity were 40.7 and 23.6% (P = .001), respectively. After multivariable adjustment, the risks of all-cause mortality and MACCE were significantly higher in patients with normal weight central obesity than those without normal weight central obesity (adjusted HR: 1.83; 95% confidence interval [CI]: 1.04-3.31; P = .004 and adjusted HR: 1.62; 95% CI: 1.18-2.27; P = .017, respectively). In conclusion, the risks of all-cause mortality and MACCE were significantly higher in male patients with premature ACS with normal weight central obesity than in those without normal weight central obesity.

Keywords: all-cause mortality; body mass index; central obesity; major adverse cardiac and cerebrovascular events; premature acute coronary syndrome; waist–hip ratio.

MeSH terms

  • Acute Coronary Syndrome / epidemiology*
  • Acute Coronary Syndrome / mortality*
  • Adult
  • Body Mass Index
  • Cause of Death
  • Humans
  • Incidence
  • Male
  • Middle Aged
  • Obesity / epidemiology
  • Obesity, Abdominal / complications
  • Obesity, Abdominal / epidemiology*
  • Obesity, Abdominal / mortality*
  • Proportional Hazards Models
  • Risk Factors